{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "2020-08-05 23:38:20.593 [HKU-I] - Loading market information... [loadBaseInfo]\n",
      "2020-08-05 23:38:20.595 [HKU-I] - Loading stock type information... [loadBaseInfo]\n",
      "2020-08-05 23:38:20.595 [HKU-I] - Loading stock information... [loadBaseInfo]\n",
      "2020-08-05 23:38:20.868 [HKU-I] - Loading KData... [init]\n",
      "2020-08-05 23:38:20.896 [HKU-I] - Preloading all day kdata to buffer! [setKDataDriver]\n",
      "2020-08-05 23:38:26.099 [HKU-I] - 5.23s Loaded Data. [init]\n",
      "CPU times: user 5.6 s, sys: 362 ms, total: 5.97 s\n",
      "Wall time: 5.96 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive import *\n",
    "#use_draw_engine('echarts') #use_draw_engine('matplotlib')  #默认为'matplotlib'绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 简单示例\n",
    "========\n",
    "\n",
    "查询并绘制上证指数最后100个交易日的K线数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.get_kdata(Query(-100))  \n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 查看与遍历K线数据\n",
    "==========\n",
    "\n",
    "K线数据可以象list一样遍历和查看具体值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KData{\n",
      "  size : 100\n",
      "  stock: Stock(SH, 000001, 上证指数, 指数, 1, 1990-12-19 00:00:00, +infinity),\n",
      "  query: KQuery(-100, 9223372036854775807, INDEX, DAY, NO_RECOVER)\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "s = sm['sh000001']\n",
    "k = s.get_kdata(Query(-100))  \n",
    "print(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[KRecord(Datetime(202007300000), 3299.5700, 3312.4500, 3282.1600, 3286.8200, 47697398.9000, 3407041.0000),\n",
       " KRecord(Datetime(202007310000), 3280.8000, 3333.7900, 3261.6100, 3310.0100, 49577803.7000, 3537589.0000),\n",
       " KRecord(Datetime(202008030000), 3332.1800, 3368.1000, 3327.6800, 3367.9700, 57243074.5000, 4074608.0000),\n",
       " KRecord(Datetime(202008040000), 3376.4400, 3391.0700, 3352.5000, 3371.6900, 60494217.2000, 4423285.0000),\n",
       " KRecord(Datetime(202008050000), 3363.3300, 3383.6400, 3333.8800, 3377.5600, 52651504.4000, 3858230.0000)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看最后5个交易日的K线值\n",
    "k[-5:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3450.59\n"
     ]
    }
   ],
   "source": [
    "#遍历查询最大收盘价\n",
    "max_close = 0\n",
    "for v in k:\n",
    "    if v.close > max_close:\n",
    "        max_close = v.close\n",
    "print(max_close)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "K线数据（KData）其实是有KRecord组成的数组，KRecord的属性如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "日期 -  2020-03-11 00:00:00\n",
      "开盘价 -  3001.76\n",
      "最高价 -  3010.03\n",
      "最低价 -  2968.52\n",
      "收盘价 -  2968.52\n",
      "成交金额 -  37876662.2\n",
      "成交量 -  3524709.0\n"
     ]
    }
   ],
   "source": [
    "print(\"日期 - \", k[0].datetime)\n",
    "print(\"开盘价 - \", k[0].open)\n",
    "print(\"最高价 - \", k[0].high)\n",
    "print(\"最低价 - \", k[0].low)\n",
    "print(\"收盘价 - \", k[0].close)\n",
    "print(\"成交金额 - \", k[0].amount)\n",
    "print(\"成交量 - \", k[0].volume)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3 Query详解\n",
    "========\n",
    "\n",
    "获取Stock的K线数据，需要指定查询条件，可按索引和日期两种方式查询。\n",
    "\n",
    "构建按索引方式查询条件：Query(start=0, end=None , kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "构建按日期方式查询条件：QueryByDate(start=None, end=None, kType=Query.DAY, recoverType=Query.NO_RECOVER)\n",
    "\n",
    "其中，索引遵循Python的惯用方式，即以0位起始，以[start, end)的方式查询，支持负数表示倒叙; 按日期查询同样遵循[start, end)惯例。\n",
    "\n",
    "kType: 为K线数据类型（日线、分钟线、周线等）:\n",
    "\n",
    "    - Query.DAY      日线\n",
    "    - Query.WEEK     周线\n",
    "    - Query.MONTH    月线\n",
    "    - Query.QUARTER  季线\n",
    "    - Query.HALFYEAR 半年线\n",
    "    - Query.YEAR     年线\n",
    "    - Query.MIN      1分钟线\n",
    "    - Query.MIN5     5分钟线\n",
    "    - Query.MIN15    15分钟线\n",
    "    - Query.MIN30    30分钟线\n",
    "    - Query.MIN60    60分钟线\n",
    "    \n",
    "recoverType：为复权类型（不复权、前向复权、后向复权、等比前向复权、等比后向复权），仅支持日线复权：\n",
    "\n",
    "    - Query.NO_RECOVER     不复权\n",
    "    - Query.FORWARD        前向复权\n",
    "    - Query.BACKWARD       后向复权\n",
    "    - Query.EQUAL_FORWARD  等比前向复权\n",
    "    - Query.EQUAL_BACKWARD 等比后向复权"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.1 按索引方式查询K线数据\n",
    "-------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#查询股票前100个交易日的K线数据\n",
    "k = s.get_kdata(Query(0, 100))\n",
    "\n",
    "#查询股票最后100个交易日K线数据\n",
    "k = s.get_kdata(Query(-100))\n",
    "\n",
    "#查询股票第199个交易日到第209个交易日的K线数据\n",
    "k = s.get_kdata(Query(200, 210))\n",
    "\n",
    "#查询股票倒数第100个交易日至倒数第10个交易日的K线数据\n",
    "k = s.get_kdata(Query(-100, -10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "3.2 按日期方式查询K线数据\n",
    "--------------------------\n",
    "\n",
    "按日期查询同样遵循 [start, end) 惯例。\n",
    "\n",
    "日期类型为Hikyuu库中定义的 Datetime，其记录的是“年月日时分”。可使用Python的datetime类型、日期字符串或数字表示法进行构建:\n",
    "\n",
    "- Datetime(datetime.date(2017,1,1))  - 从Python的datetime构建\n",
    "- Datetime('2017-1-1 9:35') - 通过日期字符串构建\n",
    "- Datetime(201701010935) - 通过数字进行构建，数字格式须如“yyyymmddhhmm”（4位年份2位月份2位小时数2位分钟数）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询2017年1月1日至今的日线数据\n",
    "k = s.get_kdata(Query(Datetime(201701010000)))\n",
    "\n",
    "#查询2017年1月1日至3月31日日线数据\n",
    "k = s.get_kdata(Query(Datetime(201701010000), Datetime(201704010000)))\n",
    "\n",
    "#查询2017年1月5日1分钟线数据\n",
    "k = s.get_kdata(Query(Datetime(201701050000), Datetime(201701060000), ktype=Query.MIN))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3.3 查询复权日线\n",
    "----------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = sm['sz000603']\n",
    "\n",
    "#查询股票最后100个交易日K线数据，不复权\n",
    "k = s.get_kdata(Query(-100))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAArAAAAI1CAYAAAAuOcndAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy86wFpkAAAACXBIWXMAAAsTAAALEwEAmpwYAABCrklEQVR4nO3de5xbVb338e+PlpstCHKZKQgTAR9QoIx2UFHUVkQRUPDxguKt9SiCyhG0ePQRnRn1IGoP4lEUEQ+jeKkcROCAIKJMFS1HOjDITeSWUQpTQahQtBTa9fzx2yGZTDKTZJLsrOTzfr3ymmRnX1aSncl3r73W2hZCEAAAABCLzdIuAAAAAFANAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAJAjczMmr1eM3u2me3ViO0m63+mmc1t1PoLtrOZmXU3ejsA2hMBFgCqZGZfN7PXSzrJzD5rZpsVPLenmZ1jZnOKlrnSzPYtsa4+MzvWzGYnj3skXT9FiN1Z0qVmdpyZnWlm95rZaHJ7wsxuT+5/rYbXNVvSBZJeVu2yBet4gZktK5r2ZzObb2afNrOtksnzJF1hZrvWui0AnYsAC6BmSVi70szWmtkdSUDZPHnuejNbV3B7ysyuSJ6bZWZfMbMHzewmM3thwTp3MLPLzewRM/uZme1Q8NwLk3D2YBLeZhU8t6+Z/TpZ7jdmtl8yfWsz+76ZPWxmvzWz5yTTNzOzjyaB7+9mdpGZPavM6/xNQUgclfRmSd+Q9B5JH5Z0g5l9OJn9Hkl3SvqtmW1TsJqtJP2zxOrvkbS/pFVmNl/SWfL/zXea2V1mdm3ymvokKYRwg6SDJT2aLH9yCKFX0gsk/U3SASGE3hDCiVN9dmWcIOmmEMLPC177sJmtNrNsidvGgkCac6KkXxRNe0LSrclrXZK8jtWSPiXpqzWUE0CHI8ACmIkfSLpN0u6SXiVpW0k7SFII4cAQwtwQwlxJu0oal/S5ZLn3y0PYcyWdLq9RnJ08d5akbLLMvcnjXO3gpZK+JGkveS3h+5Pn5kr6H0n/LmlHSR+V9I9kff2StpG0W7L8j5Lp20naU9JrJO2dLDdQ5nX2JKGwNwmLCyXdmdx/g6TPhxC+nszbLekMSW8JITxWsI6SATaE8HAI4ZOSDpN0pKRrJfVJWp2U902SrgghrCpaZnnusZldJulKSXMlXWRml5nZ/mVeS0nJwcC/SjqtxNOHhBAyxTdJDxStoyd5/b8ws5eZ2W5m9lpJW8sD/2JJ7y6oXb5C0k65gw0AqBQBFsBMPF/ShSGER0MIq0MIp4QQxkvM9wVJl4UQfpc8frekr4YQ1kpaLq+hW5gE0TdK+kII4R+Svijpjcnp+FdJWi/pRyGEv0v6T0nvTNa3WNJPQgg/DyFsDCFcH0K4p2BbXw4hPC6v7dvfzPZKQuCHQgh/Scr8U0k7FRc8qWHsMrPrzOx/zew3IYQ/StrczF6alGNlwSJvl/RbSbuY2VVmdouZ3SJpgaTf5x6b2SeS9R9mZmfLw9xDkr4l6bvJ+7Ja0peVhEoz2yKpEV2YbGuWpI3ycP4OSXsk78UaJQcSVXiZpBuSz6RqSQA+U35A8gFJb5MH8kPkn+9V8s/rpSG5BGTyd7n8MweAis2efhYAKOt7kn5kZqdK+nEIYUPxDGZ2kKSjJBW2/9xDfkpZIYRgZrfLa0Pvk7Q+hHBf8tyfzexJSc/OLZMLP5Jyy0jSfEl3mNmVknol/UzSh5Ln5hVsa72Z3Zssd1dSvtnJ8u+V9IkSr3F3Sb8NIbwqaa+Zq/n8oaSfSzpC0l/N7KAQwsoQwhlmdpGk54QQXpNsY0v56f3zQgifKVr/bvLA+iFJR8sD8bdCCNcmy/ZJ+piZXRNC+J6ZfVzS+Wb2Jnkt8iPJe7O8YJ37SDq/xGuZyr6SbqxymULPlfRySc+RtKWkBclBiMw7nW0mPwjpNbMfhRBGk+VG5TW/AFAxAiyAmThR0v9KOlXSF83sZEkX5EJm0h72W/J2mmsLlnuWpHUFjx+V1xgWT5/qudx0yUPgCyW9S95U4VJ5IPxh8ny55STp9/L2o1+RB99iR0n6tZkdLun/yoPyR+WB94bk+e0kHSpppZldLz9lfpGka5J1vFweKBeZ2awQwsbcykMI3zazoyXdVLDNs21iH67jc4E2hPB7M5sfQnjCzLaXB+M7Qgivzs1sZl9X9XLrKuWXyYFEsXkF9++QdzC7RNJgCOEfZnaGpIPkTT52lL+/v5a3hc15WNXXFgPocDQhAFCz4M6X9DxJJ0s6V34KPedjkv4i6b+LFn1Y3i4155ny0+fF06d6Ljdd8lB6Wgjh9hDCI5KG5G1sH0meL7ecJB0oD1i7Sfqvwg0nbTWPlvR1SdfLa0c/JOlJeTB7taQH5Z2fhiRv+yvv2LVLso5Z8prdcyWtSJ4rtp28KcZ+8qYGV4QQ9kser5K3bS20Y9Lha/vkfbGkacFfzWxY0os0+UBgOg/KQ2YplbSBNXnb320kHWlmn5TX0L9G0lJJv5K3Zz5VXquds5Okv1ZZVgAdjgALoGa5zjghhE0hhB/LO0i9NHluD3lw+VDBaf+cu5Q0KUjW8XxJd8vD7pZmtnvyXI+8nefq3DIFHYByy0je639BwfoflfRECOGfybK5bW0tP8WdW05Jm9m7JX1ePrqACp4Lkl6ZvI7fyjut3Sdvb/pXSb+RB9IfhxBGSrw/z5B0trzD14i8fej7zGxp0qyglNfJO8NN5RRJL5Z3dPubvK3wG5LX/QZJ5xR2+qrQqDz41mp7SS+RNJKs69shhNGkI9tKeS30T+VB/ZaC5V6czA8AFSPAAqiJmT1fPl7pK8xsS/OhsF4mHz7KJH1T0ukhhGyJxb8r6SNmtp28xna2pOGko9WFkj6ZhL9/k3RRMn1Y0uaSjjWzZ8qbL+TaeX5H0r+Yj0H6THmbyisKtvXxpCPYSZJGQwh3m9kbzOxTZrazme0s6X0qEaRCCE8ldz8ub6JweQjhJZLuTv6eW+L17Shv8nCRvOPZicm61smbGrxaHmZz/iBvpjBfPpLCT5Ia1fdKulje3jf3vu8krxW+KZm+m3xoqtyIB4/Je/r3lSjXVFZJ2stqvLhACOFvyfsxIK+hfkfB03PkIzdcJumrZrZF8lpM3tnrolq2CaBzEWAB1Op2ea/+0+W1kT+Rn0ZfLq/Je42kz9rEsWB/kyz7HXlbyDvlIfWognahJ8pD2WpJGSWn3JMgeZS89vFu+XBT30meu1ceQH+UPLdSfvpa8qG71sprd4+UdGwy/Wp5m81r5bW7e8lHLJgRMztK3ht/rrw28rSCEKxkxIPXJa9bZvYSeXOHj8hrUo8JIeR67O8uf3/7zex5ySo+kry2JfLgd46kjxX17D9FPnxYxZLlviCviS72SysxDqwK2sCa2Twzu1bS7+RhdcTMDjKz7yXr/La8s9nz5U1LJA+5NxWMGAEAFbHJZ/YAADnJEFjd8nFln5R3OLpP3uv+TnkIflI+TNQH5E0N3iPpj/Kg9iblOynNlrcVNUl/CCG83szen6z7d0kQL97+bPlIB6tCCKvNrF8eWnPDiD1T3uRgSNIWIYQXJcttUWpUiGleq8kPApaHEC5Opg3LO5H9scT8f5I0PxndYXP5eLm50R265R3jvpJ0PJstb2P8Unmt+7g8gB9a69BdADoXARYA6qh4lIFk2mby0LqpRHvglpK0zX2q+DU0aFtbJ+2UAaAqBFgAAABEhTawAAAAiAoBFgAAAFFpypW4dtxxx5DJZJqxKaBijz/+uObMmZN2MdBh2O+QFvY9NFq1+9jIyMhDIYSdatlWUwJsJpPRqlXVjqkNNNbw8LAWLlyYdjHQYdjvkBb2PTRatfuYmY3Vui2aEAAAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAYGYeeUS6667J0598svllqcRTT6Vdgsq16nuYMgIsAKC8xx6T3vUuqbdXOugg6e67ffo//ym9+c3SvvtKH/qQtHGjFIL0+c9LfX3S858v/exnPm8I0mc/6/Meeqj0t7/59Icekl79ap/+uc/lt3nhhdIee0h77eX3JV//CSf4vG99q29fkhYv9nl7e/32yCMTy19u2znXXy8dfLC0337S7rv7/YMPlp75TOmlL5UOO2zye/LQQ9Kb3iRtvrm0dm1++umnS899rvTyl0t/+tPk5Vau9Oee9zzpgx/0skn+Ps2fLx199ORl1q+Xstn8bdkyvxVOW7du8nIf/ai0/fbSxRc/PWn73/9e2ntv6QUvkC69dPIyS5fm38d99vH3Q5Juu82nPec50ic+MXk5SfrKV6SbbpKuvNLvv+td/j6+/e2TPxNJ+u53pT33lE46KT/t8celI46QMhnp8MP9cSlPPumf18DAxOkrV0pm/p4Ueughac0aaflyaWhI2rDB1z+VO++UXvta6VnPyk8LQTrxRP+MX/c6X2ehf/wj//719ko77yx95jP+3Ne/7u/fPvtIv/nNxOXuusvXe+aZ/p4deKB02WVe1hD8e/bYY/l5c6/7bW+TFi6ceFu5cuK6N2yQ3vMe6RnPkEZH89Ovv973g/nz89/TQuW+b//7v/696O3Nz3vLLf59X7BAWxR+t//t30q/t3VCgAUAlHfLLdI73uE/fu94h/TpT/v0s8/2oHHrrdKDD/oP7sMPe/D7/e+lCy6Q3vc+/wEeHfXn//AH6Y1v9JAreWg9+miffvnlHoAk6SMfkX71K+m666RPfcqnXXqpb+fWW32755yTL+N55/k2Rkc9tBUqt+2cAw+Urr3Ww8Nxx/n9a6/16b/6lQeyYs94hnTKKdKOO+an3XqrB6TRUemrX5U+8IHJy61aJf30p/6ejoxIv/iFT993X+n440u//2vWSN//fv62fr3fCqflDioKHXusB42cTZu097Jl0s9/Lq1Y4UH00UcnLrNsWf59fMtbpNNO8+mf/az0sY9Jd9zhAak4nD/6qPTrX0svepH0xS96MOrtld7/fj8AKf5MJD8YOvbYidPOP1+aN0+6917pgAOkH/yg9HvyzW9Ks2dPnLZxo38m/+f/TJ5/eFi64or841/8wj+v3MHKwQdL99wzcZkdd5QGB6VNm/LTrrjC3+vbbvPXVhzmcyFxdNT33b328n153Tpf1003+QHFJz85cbm99vLv1lve4vvevvvmn/ve96RDDpG22cafO+MM3y//8z/99fb15W9vfrO/r4VmzfIgus8++Wkh+Hfz/POlq66S/vVfJ9fylvu+9fT4dgudcYY/f/LJmpcLw1/7mofyBiLAAgDKO+igfC3kwQdLf/6z37/8culVr/L7b32rP95hB//R2mwzryF74gn/Ybz8cq8dmjUrP2/hOmbN8h/f3PSuLr/tuGM+kJTaXk5hLVmxctuu1oUXegCWPKi85CXSllvmn7/lFukVr5DmzPEA96c/5WvNck480V/TrFn+vubey54er8EqpadHOvVUr1X82c+kq6/O34aH/bkDDvB17bVXvqasr0/aaaf8eh58UE9ts42HkW239TKuWFF6mw884M+94x3+eNttfbkttpD239//5oTgtcn77uu1n3vu6e/3c587+fUfeKAHO8k/1z33nPj8ttv66zWTFiyYuJ2C16HvfMcPNgqdd55/JvPmlX5NOZs2ecg+9VQPhCed5PveHnt4zfFHPuLzbb+9r6/QzTf7GYPNN/fa2cJQXOzss/3922EHn//Zz5bmzvXXXby//va3XhO6cqXvF7mmGCMj/jl/+MP++LrrpBe/2A8ObrpJuv12adEir/k//XTpmmvy8x14oN+fNctfx7bb5re3erV/xvvtJ3V3e7i9/vqJZSr3fevu9n2n0OrVXv7587Xlgw/6QdfGjf6aG2j29LMAACA/ffjCF/r9Bx7w09GStOuu0v33T5z3jjt8+hZb+Ly55XbYIX8a/8EH8yFm1139h1zymr9DD5WOOUY66qjpt/exj0l/+YsHhlNPnViOctuu1g47eMgpZ489PERs2CDdcIOf/l69emLNV04IXkv97ndXvv3ddvPgMGdOflrh6eKttvJtFddMFpR/y4ce8jLNmuU1a6tXl573+9/399LMH596qjeZ+MAHfP2ZTH7e5culv/9d2m47f5w7YHj0UX+vL7zQP7dvfcvDW2GQKvamN3mN/Omne43osmWT5/nUp7w2s7Dpxtq10je+4aH79a8vv35JOvdcD3TXXec1k1dd5fuP5AdNGzeWX3aPPbzpw0knSb/8pTeNWL/e3/tCIfh7ePXV/njLLb2G/eijPYCecMLE+XfYwWtzd9hBOussPxB55zu95vbZz/bmIIce6vPuuqvXUG/a5AdSAwPSl7/sz+XOCGyzTf67Ukrhdym3zuLv73Tf7+L3ZcUKaWxM/9xlF699XbLEDzLWr5e+9CUPvnVGgAUATO/RR/1UYWF7udzp1ccey4cdyX/AP/Up6eMfnzzv+vX5DjQh5NuB5taxaZP/+H/84x6OtthC+pd/Kb+9U0/1H+wnnvDg9MpXejvTQqW2ndPf76fV//Y3X8dll/n0227zGtXNNvNwtGiR38o58EBvF3nggV5j3dOTD3XFLrvMw0cuWE/nAx8o3UxAkl7zGg9hO++cL3sps2frTyefrH0PP9yDyQEHlC/f//yPn7rOWb5ceu97vZb397/3piK5WsSDD/bX8bWv+eMjjvCQ+MgjXu4LLsivp1yTgJzf/c7DW3e39MMfei12X1/++ZERr9076igPkjkDA76/bbPN1OvPle+jH/UQ+pe/SH/8Y76Wv7hJQ7E3vtH3lQULvI3vs541sRY+5957vbY19/4+/rg3WzjhBG+q8uSTvq/k7LOPT//gB722df/9Pfw99JA3zTjzTJ/v9tsnbmfjxvx3I+fhh702/Pvfn/q1FDaNKP7+Fs9T7vmcj3/cD3jmztXDb3+79hwb8yYIr3iFt6M+/fT8a6gjmhAAAKb2xBNeO/b//l++xnSXXbyWVfK/u+ySn7+/32vacqegC+e96658bUxXV/50aW4d113n4e4Nb/DAc++9HjLKbW+vvXw9u+8uHXmkz1uo3LZzBgd9m8cc4z+0113ntxe9yMPDdddVHjRPO81P7f77v3sg3nnnyfPceKN3bikMiNMZG/PavI98xDutLV7sbRivvnpiEJnGgwsXevkuuMADZmFNas6mTV772dPjj9ev9/lPOMHbwh56qPTjH+fn32230iFu++0nNyGYzhe+4O1DFy/2dsS5msWcH//Yy3bQQd5++txz/X285BKv5XvJS7z2+41vnFjTHoJPv+ACr03cemtvb/ra13oHxKnCWaHZs32bN97oHaO22670sjfe6Kfncy65xPeh173ODwBztdaF3vc+b9v7u99N7Bw2b16+qUnOE094Tf/3vucHEBdf7H+vv37qmtKcwu+ENPn7WzxPqecLPec5Xu6rrtLOV1/tTWX++Ec/SOrtnfydrBMCLACgvE2bPFAsWOA/2jlHHplvc3fNNV6zJfmP8PCw/839uB95pIfBjRsnzptbx8aNfgryiCO8hnRkxGut/vEP6b77vF1nqe09/LB3igrBA8u113o5H3zQ53/qqfLbLhSCB4tDDin/PgwPey/9ckLwdrCSB4sjjvDa28Ll7rnH21uef/7UgaCcc8/1YLTffhNrIKWJr7mMOffc4+W87TYPxS960eTl1q3zWu/CYHbPPX4gsXGjHwTk2tkWu/NObyd64onebnLXXf1U9B/+4M+/612TaxELPfWUf1aS177mtpNb7ktf8vVfd513Jnzf+7wZxr33evOW3MHGT3/qp+Mlf73/9V9eI1oYKrfc0oNVYdvjH/1I+o//KF++DRvyYeyrX803ASlebvXqiQcvTz3lZduwwffZNWv8fs769R5ozfJ/c17zmnwt9rx5Xu4//9lraR96yGtsb7jB/+Y6Bd5+u79n5ey6qx943HyzND7uZerrm7hcue/3VMbGtHHrrf2932UXD/I33FDbvl4BAiwAoLxvftNrjIaH88MD3XWXn+L8y1/8dOW8ef6Dd/PNXqP18MNeG9bb68secIC3TZw/309P59qpnnqqn2rMDSE1f76f/j/ySF/vfvt5W7oXvtCX7+726ffd59vfemsvV1+ftw9997t93n/8w0Pahg3lt13otNO8w0pXV/n34cEHPaBJ3kGnt9dru17+cg8zjz3mtYfz53uN2+mnT17umGM8IH7gA7587pT14Yd7GLvmGp9+772lyzA+7qe+TzppcpOCwte8apWv59JLpZNPfjqUdF11lb8fS5Z4iN5ss4nLSV6+rbfOr3errbzT1Gtf6x2znnqq/IgJq1d7j/YPf9g/9yOP9FPHZ53lz992W77tam+vDzH1gx/4/See8KGmvvIVr+X/7nfzNbCFy1XLzDtbnXZaPqxefLH3pL/mGj8ou/lmn37//fkhuD7zGS/XY4/53//+b+mvf/Wa6PnzPUSefPLk5Uq9h8ce69+Rvff278WyZRM72P32t/nRA8bGfD/csMFrVFeu9FCfzfoZjXnzpOc+V0Mv38aD6PCw77vDw/n9ae1af88k3wd6e32fOOaY/NBW3/62f18OPdSbyOSGhMstV+r7Jvl+evjhXivb25tvty5J3/iG7s8NBff+9/tnecIJ+fepzizk2h81UF9fX1i1alXDtwNUY3h4WAsXLky7GOgw7Hct5qKLvPb1G9+Y2Ov91a/2NqXFHXTScNhhPpzX736XHxrr9tu989HGjd4uswIN2/dy49O++MUednMOOMCbg+y2m7fvTNvy5d4MYc4cP+jYYQevHT7hBD/oKBwWrZkuushD+8qVPhzV5z/v7Zofe8zb9j7xhA/N9fa3+8Hj97+vgYXSwCd/7q/l5pu9Rjab9ddROAxXk1W7j5nZSAihb/o5SyxLgEWnIkggDex3LSb3G1hpO8iIse/JP+/iz7rUtLRt2uQ15GUMDA9oYOFA88pToWYGWEYhAAB0rlYLLmisUp93K+4DU4RXON4hAAAARIUACwAAgKgQYAEAABAVAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAgKgQYAEAABAVAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAgKhMG2DNbBszO9/MRs1spZntaWZbm9mFZnarmZ1lZrOaUVgAAACgkhrY/ST9IITQK+kHkj4n6XhJ2RDCvpJ2knRkw0oIAAAAFJg2wIYQVoYQrkweXitpd0lHSPpVMu2C5DEAAADQcLOrnP/Fkm6QdIikO5JpqyXtUjyjmR0n6ThJ6urq0vDwcO2lBBpg3bp17JdoOvY7pIV9r31ks9mW/CybuY9VHGDNbFtJH5V0uDzA5mpvt5EUiucPIZwj6RxJ6uvrCwsXLpxpWYG6Gh4eFvslmo39Dmlh32sfrfpZNrNcFY1CYGZbSvqJpNNCCHdLul/S3snTeyePAQAAgIarZBSCzSQNSRoJIXw3mXyZpEXJ/UWSLm9I6QAAAIAildTAniDpbZIWJkNpjco7cO1mZrdKekAeaAEAAICGm7YNbAjhLElnlXjqrfUvDgAAADA1rsQFAACAqFQ7jBYAAABS0L2sW2seXyNJGlwxqK45XRpfOp5yqdJBDSwAAEAEcuG13ONOQoAFAABAVAiwAAAAqF0mI5lJIyP+N5Np+CZpAwsAAIDajY1JIUjDw/7XrOGbpAYWAAAAUSHAAgAAICoEWAAAgLQMDaVdgigRYAEAANKSzaZdgigRYAEAABAVAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAWkUmI5nlb5lM2iVqSbPTLgAAAAASY2NSCPnHZumVpYVRAwsAANAOhobSLkHTEGABAADaQTabdgmahgALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACdKtKRCwiwAAAAnSrSkQsIsAAAAKhdT49kpu6zz/YLL/T0NHyTBFgAAADULpuVQtBWW23lVxFrQq0uARYAAAAVGRodSrsIkgiwAAAAqFB2bTbtIkgiwAIAACAyBFgAAICYZTLeeWpw0P9mMmmXqOFmp10AAAAAzMDYmHeeyjFLryxNQg0sAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAABEoGtO15SPOwmjEAAAAERgfOm4JGlgeEADCwfSLUzKqIEFAADARENDaZdgSgRYAACANjY0OlT9QtlsvYtRVwRYAACANpZdm027CHVHgAUAAEBUCLAAAACN1uJtSmNDgAUAAGi0Fm9TGhsCLAAAAKJCgAUAAOg0mYxkJg0O+t9MJu0SVYULGQAAAHSasTEphPxjs/TKUgNqYAEAABAVamABAADaUPeybq15fI0kaXDFoLrmdD19OdrYEWABAABi1tMzsQlAT48kPR1ec4ofx4wmBAAAADHLZr09a3+//+2AIbsIsAAAAIgKARYAAAAukuG1aAMLAAAAF8nwWtTAAgAARCSzXSbtIqSOGlgAAICILO5d3LiVlxnRoNVQAwsAAAAXyYgGBFgAAADM2Pru7qZtiwALAACAGRs/7LCmbYsACwAAgKgQYAEAABAVRiEAAADAlLqXdWvN42skSYMrBtU1p0vjS8dTKw8BFgAAoFW06DBWufBa7nGz0YQAAACgVUQyjFXaCLAAAACICgEWAAAAUaENLAAAQKNkMtLYmN8fGqJJQJ0QYAEAABplbMzbskoTO2dhRmhCAAAAgKgQYAEAAFpNJtOcZSJFEwIAAIBGKRzXtZoxXRcvrn5btSwTKWpgAQAAGqVwXFc6cNVNRQHWzE4xswfM7KTk8Twzu9bMsmb2PTOb1dBSAgAAAIlKa2CvlHR5weOPSPq5pD0lzZJ0SJ3LBQAAAJRUUYANIdws6b6CSY9KyoYQNkq6UdKGBpQNAAAAmMRCbmyy6WY0G5C0NoRwppltL+l/JP1Q0gsknRBCeKpo/uMkHSdJXV1dC5YvX17PcgMztm7dOs2dOzftYqDDsN8hLex76coMDSlbopNVuen1MPLAyKRpC+YtSJ4ckRYsKJh54uPick25rkS1+9iiRYtGQgh9FS9QoNZRCF4n6SpJW0rqk7SbpHsLZwghnCPpHEnq6+sLCxcurHFTQGMMDw+L/RLNxn6HtLDvpWx4WJlS73+56XWwaHDRpGnh7UnF5aJF+QsslHpcVK63LXub1jy+5unHXXO6NP728QnrbuY+VmuAPUXSi0MIG8xsraTjJf1b3UoFAACAljG+1MPqwPCABhYOpFsY1T6M1raSFpiZSXqupK3rVyQAAADMVNecrikfx2zaGlgz20XSzyR1S9poZq+XtFjePOAZku6S9O4GlhEAAABVakStaWa7TF3WM1PTBtgQwv2Seks8tX/dSwMAAICWtbh3cdpFkMSVuAAAABAZAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAABNlMmmXYEoEWAAAAEzUoMvb1gsBFgAAAFEhwAIAALSxVrn4QD0RYAEAANpYq1x8oJ4IsAAAADMxMCCZ5W8DA9Mvk8n4vIOD/rfFO021GgIsAADATAwMSCFI/f3+t5IAOzbm8+ZuY2ONLmVbmZ12AQAAADpOT4/XvBY+RsWogQUAAGi2bHZirW02m3aJokKABQAAQFQIsAAAAIgKbWABAADqIaaRBCJvg0uABQAAqIcWv/zqBJG3uaUJAQAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAkJZMJu0SRIkACwAAkJbFi9MuQZQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAgKgQYAEAABAVAiwAAACiQoAFAABoNC5YUFcEWAAAgEbjggV1RYAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAgKgQYAEAABAVAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUKgqwZnaKmT1gZiclj7cws7PN7GYzu8bMnt3QUgIAAACJ2RXOd6WkvQsef0jSk5LmS9pL0l/rXC4AAACgpIpqYEMIN0u6r2DSOyWdEdydIYQNDSkdAABAq8hkJLP8LZNJu0Qdy0IIlc1oNiBpbQjhTDNbI+lzkt4r6QZJx4cQniqa/zhJx0lSV1fXguXLl9ez3MCMrVu3TnPnzk27GOgw7HdIC/teHYyMSAsWlH/c4ardxxYtWjQSQuirZVu1Bth1kt4t6WJJl0o6L4Twk3LL9vX1hVWrVtVSPqBhhoeHtXDhwrSLgQ7Dfoe0sO/VgZlUmJuKH3e4avcxM6s5wNY6CsEDkq4PIWySdI28HSwAAADQcLUG2EskvcnMZktaKOmWupUIAAAAmMK0oxCY2S6SfiapW9JGM3u9pDdJ+p58NIKrk+cBAACAhps2wIYQ7pfUW+KpN9S9NAAAAMA0uBIXAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKgRYAAAARIUACwAAgKgQYAEAABAVAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUZqddAAAAgCj09EhmEx8jFdTAAgAAVCKblUKQ+vv9bzabdok6FgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAALSFodGhtIuAJiHAAgCAtpBdm027CGgSAiwAAEA1Mpm0S9DxCLAAAADVWLw47RJ0vNlpFwAAAGCmupd1a83jazS4YlBdc7o0vnQ87SKhgaiBBQAA0Vvz+JqS99GeCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAABovKGh1lwXokSABQAAjZfNtua6ECUCLAAAaE3UtKIMAiwAAGicTEYykwYH/W8mU/my1LSijNlpFwAAALSxsTEphPxjs/TKgrZBDSwAAACiQoAFAABAVAiwAACg7Q2NDqVdBNQRARYAAMRhBh3CsmuzjSoVUkAnLgAAEAc6hCFBDSwAAACiQoAFAABAVAiwAAAAiAoBFgAAtJaZXL2rnriUbcsiwAIAgNaS66yVu42NNXf7uQC9ZEl64RlTYhQCAACAQoWjHTDSQUuiBhYAAABRIcACAIDUcIUs1IImBAAAIDX1ukJW15wurXl8zdP3c7qXdT89fXDFoLrmdGl86Xhdton0EGABAEDT1TtYji8d18DwgAYWDkyYnttGuceIE00IAABA0xEsMRMEWAAAAESFAAsAAICoEGABAAAQFTpxAQCAOPT0TLywQE9PemVBqqiBBQAAcchm/QpZ/f3+N5tNu0RICTWwAACgcag1RQMQYAEAQONQS4oGoAkBAAAAokINLAAAaC00O8A0qIEFAACthc5amAYBFgAAAFEhwAIAACAqBFgAAABEhQALAADiksmUnrxd6eloPxUFWDM7xcweMLOTiqZ/wsyyjSgYAABASYsXl57cW3o62k+lw2hdKWnvwglmtqukI+peIgAAAGAKFdXAhhBulnRf0eQvJjcAAID6K9NUALAQQmUzmg1IWhtCONPMXiZpaQjhjWaWDSFkSsx/nKTjJKmrq2vB8uXL61dqoA7WrVunuXPnpl0MdBj2O6Sl1fa9kQdGJk1bMG9Ba2xnZERasGDyfUyp2n1s0aJFIyGEvlq2VXWAlfQ1ScOS3hlCGCsXYAv19fWFVatW1VI+oGGGh4e1cOHCtIuBDsN+h7S02r5ngzZpWuivLJM0fDtmfgGF4vuYUrX7mJnVHGBrGYXghZJ2kfRjM7tO0jwz+3EtGwcAAEjT0OhQ2kVADSrtxPW0EML1kvbMPU5qYI+pa6kAAACaILs2m3YRUINpa2DNbBczG5V0vKRTzOyXDS8VAABoa11zuqZ8HNt20FzT1sCGEO6X1DvF85k6lgcAAHSA8aXjbbUdNBdX4gIAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAUD9DQ2mXAB2AAAsAAOonm027BOgAVV/IAAAAIHbdy7q15vE1kqTBFYPqmtPFkFsRoQYWAAB0nFx4LfcYrY0ACwAAgKgQYAEAQFWGRofSLgI6HAEWAABUJbs2m3YR0OEIsAAAAIgKARYAAMxcJiOZSYOD/jeTSbtEaGMMowUAAGZubEwKIf/YLL2yoO1RAwugPXE1IABoW9TAAmhPXA0IQK16evI1yD096ZYFJVEDCwAAUCib9eYQ/f0cDLcoAiwAAACiQoAFAABAVAiwAAAAiAoBFgAAAFEhwAIAACAqBFgAAABEhQALoL1wOUsAaHtcyABAe+FylgDQ9qiBBQAAHadrTteUjyVxBqeFEWABoB0NDaVdAqCljS8dV+gP6n9lv0J/0PjS8ckzLV7c9HKhMjQhAIB2xOUv0QDdy7q15vE1kqTBFYPqmtNVOvgBDUYNLAAkhkaH0i5Cw3XCa0Tj5MJrucdAs1ADCwCJ7Nps2kWYuUzGO7JJPhJDT4+UzU6oOVtyyRJqzgBEjQALAO2kzCgM1JyhHrrmdE3Yd0p2fAKagAALAAAqkqu1Hxge0MDCgXQLg45GG1gAAABEhQALoOPQkQmYmcx2mbSLgA5HEwIAHactOmsBKVrcu3jyxJ6eiVe+6+lpWnnQeQiwAABg5hh7GE1EgAXQXqgFAoC2RxtYtAcum4mcbNaHkerv978V1Ap1L+uWDZoGVwzKBk3dy7obXkwAQO2ogUV74NQVKlDuMpiMkQoAcaEGFnHLZPx08eCg/81k0i4RWhhBFQDaAzWwiFuZqw4BAFAJhgSLEzWwAACgY5UcEgwtjwCLtsaA9QAAtB8CLNoaA9YDANB+CLAA2hMd+gCgbRFgAbSnxYvTLgEQP8bYRosiwAIAgIlyQxQuWcIQhWhJDKMFAO2ES+miHhiiEC2OGlgAHa9rTteUj6NSw6V0ASA21MAC6HjjS8clSQPDAxpYOJBuYeqFU74A2hg1sAAwjSjHE6YTG4A2RoAFgGkwnjAAtBYCLAAkuCY6AMSBNrAN1L2sW2seX/P04645XU+3tQNQJ0NDFZ8u75rTNek7Waj4muiF3+HBFYN8hwGgRRBgG6jwh7LUYwB1UEUv+2o7a/EdBoDWRIBFW6LmDACA9pV6G9goe/ei5VVSc9Z95ZXNKg4AAKij1GtgO7F3L21jW8NW47zniMPQ6NCk9rkA0MlSr4HtRLSrmxq18sBEnXigDwBTIcCi5TT8xzqTkcy0fv16v743VyxCzIaG0i4BinAQDjQeARadZ2xMCkHjxx/v14ofG0u7REDtqhiFAc1BjTnQeKkF2O5l3bJB0+CKQdmgqXtZd1pFAdBhWvWCBdTclUEtM4AiqQVY2oGikYoHqC9+jM6WZoeoqUa/oOauDGqZARRJfRQCoBGqHbAeDVLFVbI6RTWjXzCeMQCURhtYtIxGNCup5VQxp3HriJqzGeFMFQCURoBFy2jEj3Utp4o5jQs0DgeIAOqBAAsgTslwaBocjGc4tEwmteHbWqVdeDsfINI5GWgeAiyAOCXDoT19i2E4tLGxqoZvq2foHF86rtAf1P/KfoX+0Pi2tB04cgBNPoDmIcACCWpP0GqaHjrrIVczvmRJPDXjbYZmGugEBFggQe0JolLYhKKKkDhlx8Z61JrWs2Y8xmYiLaCdm2kAOQTYFLRKW7SO1dMjman77LP9R7GnJ+0SAdUrDIpVhMQpOzZWOWpENTV9053hKLmuGJuJxKoDm3wgbqkF2E4OcVGeFmwn2awUgrbaaiv/UWSoJ6Am1dT0TXeGo+S6koPNp28cbDYO/wcRmdQuZMBA8wDguGBBGblQNTDgt4gVfsYlP18u+gFUJfUmBK16TXIA6JgzRdO1p+X08owV1jiXbF9PDShQldQvJZvmNckbrWtO14R/VPX48RsaHWrr9wxoJc2qBa3pjFTu9HrufiM1MFxR+1w/vJfoJBXVwJrZKWb2gJmdlDw+ysx+Z2Z3mNmpDS1hxGbU1rVMjUdb9S6lVgeoSMkzVUlb7rq0486tq7+/onXVc8i5ikb/aNXRB4r+h6VdY1/TSCrlRnqg/TFaXKVNCK6UdLkkmZlJ2kfSqyX1SjrOzPZuSOk6WSecTuqE1whUoVyTqnY46zKjcNdqbUPLjHUbZQfdciM95A5qzjuPzq5oSRUF2BDCzZLuS+6HEMIXQwj/CCH8U9INknZrYBnRbmYytmMda23Xd3OhgoaZpk0lA62XFktQrSWolVsm7VrLmrTo8F4NeS9b7eABSFgIobIZzQYkrQ0hnFkwbXNJd0g6KISwpmj+4yQdJ0ldXV0Lli9fXqcix2coO6TFmcUVT5ekzNCQsiX+cUy1TDRGRqQFCyY9HnlgZNKsC+YtmPB40vtSZl2VWLdunebOnZtftILto0I33yxt2KDu66/X+MteJu2//4Sn67IfF27jwAOlLbaYtJ2WMzKidXvv7ftdFftqs5T7v1PV/6NpvpO1/D9sOdO8xivHr9Rh3YdNXKTo/8u0/9tmoNx7ud3FF2vt0UdPnDiD/6FAseLf1eksWrRoJITQV9PGQggV3SQNSDqpaNqJks6dbtkFCxaEjnDeeSUn91/TX9V0f3Lic11f7goa0NO3ri931VTElvB0Rf7Ex4WvL3ebpOh9CT09hfUg/rhC11xzzcRiVLJ95FXy3tdxPz7vxvNKP1G8T7QyKb/fFX8PWkGV36+S/8PKfL+nXCZM8fm2omleY8lFqv3fNgPl3uN73/OeyRNn8D8UKFb8uzodSatChTm0+FbzMFpm9lpJiyWdXOs62k4D2wi1/GVO0+qQVdj5hHZazVXDadRa9uNch6EllyyZcYchVKmWU+XTdP5p53a+rWLSe5w06Vm/fv3kZlu0dUWkagqwZnagpG9I+r8hhMfqWyREiX96aJBpQ2+r9lDvVNMcVBJUq1NLe/FJ73FyIDJ+/PHlD0Ro64rITBtgzWwXMxuVdLykU8zsl5J+JmlzSReZ2aiZLWtsMdtTyZqIgYGJHZwiv/pMNaLszJGgU1Kd1FKTzw9v/VR5MMCFaOpgmk6tbTV0IlBH0wbYEML9IYTeEEJ3CGHXEMIhIYSdQgi7hxAWJM8tbUZh203JmoiBgYm1F0mAjTncTVLmFOOMhqBJuRaOH5k6ibAmv60OXooPBqZpDpB6bSpjSQMdK/VLyXaCetRSRDm+YE7xj0wj2q3GVgvXKT+8lR5YzGRotZS19cFLq7cxb7Xy1II2qEBNWjbAtlOtRuq1FGmr8h9yy56WrGfo7JQfqUoPLFp0XE0kIjqgkCL9/Sj6rlR0tbNOORAGSmjZANvWtRoz0LLhro7SCvzTNtPolNDZQG3VFKaT1HKGI8XQW9ffj5RCYkUjdvA/CR1sdtoFQHU6tjY3k8nXyg0NNeQfd65ZxsDwgAYWDtR9/dPpXtY94Ueqa05XXE1FKpB7PUOjQxP35Vxby8LHLa7w8xpcMdiWn9eMNLJZz8CANzeR/G9/f+M6vLZDSEy+X93HHCMtWhTF9wuYTsvWwCISU7VdnOZyolUpPMXc7NPLTWqf2fJj/dbRpAOxVm9rWUInfV4tp0xn14pOu1cjk4myXfYkyfdrq622iub7BUyHGljMTC5Y5hTWohU+Vzi9xU1qpjHFa6QWrs5iDglI3YwOKoaGJtcap/g/rGtO16QzMk9rwhkpoNW1XA1s3Y+g0bpaNKxU00yj6h/MiHvbN0Vso0kgfrnv5JIllX8npxlerJTCAFpJ2+9GjDyzvpvfU7SPlguwnJbrILGElRp+rMqitz3QWmr5TtYw9FUukJ531HlVhdGSHXcLm9xUUfs6fthhFc8LtLqWC7At20s5d5Seu3VozVmUw9PMVITtMwGUUTyqwEwOUGs4CK+2I27HdtwFptFyAbZlB+yn5kwSw5uh+Vr2oBZxKddUYKoD1MJwS899oKXQiatVdWgNL1As7eHN0Cam6nBaTjZbunMXgNQRYFsV/zDbU4TjnbaKTriIB1pQK/8vpqIDHazlmhAAbY32tDWLrS1gyfbiPT3qPvtsTkmjPlo5XAMN1l4BlutCN99UHSDq2X6MtmhoMdO1zS3ZXjybZTD5tEzXWYvaTCAq7RVg+UFovqlqFGsc6mXK7aT5w1/PHzh+LKNXa4dTxuKso2q+R9MNfUVtJhCV9gqwQCPV8weOH8uOxVicdVTL94jvHtAWCLD10AFXV5r2CmlTveY2fD9yph3iqY7NWjpyDF6gCgy5BnSOlh2FIKoex7UMz1In3cu6J10vuxFj5057hbSpajXauMZj2iGeqmjuUO7a54Wf8ZJLljTsM0Z9FH5egysG+byaiPcZ6BwtG2Bj63Gcloouvcs4hlEo9+PL5ZXjwucFAI1HE4JOQOe25uuAZiUAAKSlZWtggail2KwEAIB2Rw0sUAdRtdkGACByBNhOxoUf6mZSm+3pBk0HAAA1I8B2MtrGNg6XjAUAoGHiDLDUHM7MVB2Mcs/R8QioCWORAkDjxdmJi9qsmZmqg1Hhc3Q8mjkOAjpObji0odEhhgMEgAaJqwa2sOawlYJBq7Z3ZCin9DH+bscivAJA48QVYHO1gyH4/VaRa+943nmt1d6x8P2a4XvGaVFM0qoHbgCAthdnE4JW1ca1bVyiEZPkDtQGBvzWoRhCDQCaL64a2HI4VQ4gJTQVAIDma48AW8dT5UDHq3aUDw4YAQBN1h4BdhpDo0NpFwGIR7VtuNu46QwAoDV1RIDNrs2mXYTWQuebqEzXga5uB2itOsoHAABFOiLAoghXiYrK+NJxhf6g/lf2K/SHSR3q6naA1qqjfAAAUIQA286oaW0rpXq7dy/r1uCKQdmgqXtZd0O3T1McAECraI9htHJBrfAxqFltM6V6u695fE3J+41AUxwAQKtojwBLUKufwoMBDgQgr+XNhePBFYPqmtPFuMAAgFS1dROC7mXdskFr2inWtpDN0ja2E1QxVFZxzW6ja3oBAJhOWwdYfniBMjg4AQBErK0DLAAAANpPxwdYelYDAADEpeMDLD2rS2AQ+/ZVeLECs4o+6+kupAAAQLO1xygEHaxrTteEtr1VhYty4YVLg7av3MUKcgqHnysjN+LA0OhQyaG8AABoNgJs5GY0nBFBFVUgvAIAWkXHNyEAAABAXKiBrRRX+wIAAGgJ1MBWKpv1toMM8o92lTtIM+MADQDQ0giw1aKHPtpV4UEaB2gAgBZGgK0WHZ/Q7jhIAwC0uI5tA9u9rPvp4afOXnX2zHrzA+2EgzQAQIvr2BrYwrFTC+8DAACgtXVsgAUAAECc2jrA1nQJzNylNnM32gMCAAC0lLgCbJXD/IwvHVfoD+p/Zb9Cf6isnWvuUpu529hYHQoOpGNodCjtIgAAUHdxdeLKDe0zNERHE2AKhZ0Ul1yyRF1zuuioCABoG3EF2BzCK1AbrigHAGgDcQZYAFPK1bYODA9oYOFA/gkuUAAAaANxtYEFAABAxyPAAhErHFmjolE2AABoAx0bYPnhRzsYXzo+5Sgbme0yzS8UAAAN1rFtYHM/9kOjQ1rcuzjdwgANwr4NAGhHHRtgcyb9wNNLGwAAoKV1bBOCsrJZv4BBf7//pdc2AABASyHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQJsOZlM2iUAKsJYrwCATkOALWfx4rRLAFSEsV4BAJ2GAAsAAICoEGABAAAQFQIsAAAAotIRAZZOLgAAAO2jIwIsnVwAAADaR0cEWAAAALSPigKsmZ1iZg+Y2UnJ4x3N7Gozu9XMPt3QEgIAAAAFKq2BvVLS5QWPPy3pYknzJR1hZgfUuVwAAABASRUF2BDCzZLuK5h0hKRfhRA2SroweQwAAAA03Owal9tJ0t3J/dWSXlY8g5kdJ+k4Serq6tLw8HCNmwIaY926deyXaDr2O6SFfQ+N1sx9rNYAa8lNkraRFIpnCCGcI+kcSerr6wsLFy6scVNAYwwPD4v9Es3Gfoe0sO+h0Zq5j9U6CsEaSXsl9/eWdH99igMAAABMrdYAe5mkRWY2S9IrNbGDFwAAANAw0zYhMLNdJP1MUrekjWb2eklvlbRc0vGSfhRC+ENDSwkAAAAkpg2wIYT7JfWWeOrQupcGAAAAmAZX4gIAAEBUCLAAAACICgEWAAAAUSHAAgAAICoEWAAAAESFAAsAAICoEGABAAAQFQIsAAAAokKABQAAQFQIsAAAAIgKARYAAABRIcACAAAgKhZCaPxGzB6UNNbwDQHV2VHSQ2kXAh2H/Q5pYd9Do1W7j/WEEHaqZUNNCbBAKzKzVSGEvrTLgc7Cfoe0sO+h0Zq5j9GEAAAAAFEhwAIAACAqBFh0snPSLgA6Evsd0sK+h0Zr2j5GG1gAAABEhRpYAAAARIUACwAAgKgQYNHSzGwbMzvfzEbNbKWZ7WlmW5vZhWZ2q5mdZWazzJ1qZqvM7DYzOzxZ3szsM8m8vzCzHabY1jPNbI2ZLS7z/HvM7G4zO7Ng2mZm9jkzuyUp3/71fg+Qjmbte2b2VLKNUTP7WonnNzezr5rZDck8BxY898Fk31tlZq9q3LuBNDRjHzSzjxbsf38ws/VmNme6cjTrPUBjNfH/3IfN7F4z+6OZvbzMPNlkHxw1s59MV3YCLFrdfpJ+EELolfQDSZ+TdLykbAhhX0k7STpS0rMk/V3SiyS9VdK5ZmaSepPn50v6qaRTp9hWv6QHpnh+paQfFk07Kln3AZLeLOkvlb80tLhm7Xt/CSH0JrcTSzzfI2mVpAXJOr4qSWb2AkmLJR0o6RBJf5rZy0ULavg+GEI4I7f/yfetz4cQHq+gHGgPDd/HzGyu/Pf1AElHS/pCmbJskpT7X/im6QpOgEVLCyGsDCFcmTy8VtLuko6Q9Ktk2gWSjggh/C2E8LUQwqYQwi2StpS0eTLvcAhhY27eUtsxs+dJerGkS6coy58k3V00+Z2SzgwhbAwhrA4hrK3ldaL1NGvfk/TwNOW4K4RwfvAet7lySL7vfTOE8M8Qwt9DCPfV+FLRopq4D8rMtpL0IUlfrrAcaANN2seelHSfpHXyA+1y//MeCSFsqrTsBFjE5MWSbpA0T9IdybTVknYpnMnM9pa0OoSwoWjev0kqdQrNJJ0h6V/lR4DVyEjqNbPfm9lPzGzbKpdHHBqy7yV2MbPfJqfvXlphOSTf93Yxs2uTU3e7VvOCEJ1G7oOS9HpJPw8hPFFhOdB+GrKPJfvU2ZIulvRJSd8ss/0tzOyXSROCN0xXWAIsopAEw48qOX2q/L67jaRQMJ9J+ndJXypYPDfvVpJmm9mWBW2+PixvBnBXCGGkaJu5L9JpUxTtGZKekvQSSWskvb+mF4iW1eB9T5LeIOlVkr4m6fxkXZP2PTPbXNKApGXJpGdI2k7SQkm/kPSJmb5WtKYm7INSEmCT9ZScp0Q50CYauY8lbaoPlQfXV8iDcqn/c++W74cnSvq+mT1jqjLPru2lAs1jZltK+omk00IId5vZ/ZL2lnRn8vf+gtkHJT0qb8uj5Lm9k/t7SRpPjgZ7C9b/I0n7mNl1kp4t6QkzWx1COKSC4t0n6cYQwiYz+6WkV9f4MtGCGr3vSVII4fpkW8slfcPMtije95IfjXMlXRFC+HUy+T5JN4UQnkr2vc/X4SWjxTRjH0y8QNIt0tM1ZhPmKS7HjF8YWkYTfmOPlXRDCOEKM7tK0q1m9pXi/3MhhBuTu78xs6ykXZMylEQNLFqamW0maUjSSAjhu8nkyyQtSu4vknR5Mu8J8tqoE0L+Ch2XSXqFmc0qnLdQCOHtIYQXhBBeIg8Jnwsh/KLCIl4i6c1JwDhEyQ8A4teMfc/MXmVmmYL1ZZPTcsVOl7SFJnaeYd9rc83YBwvMk58CrrQcaANN2sdmS3qJmW0h7wzWJf9/VliOBWZ2QHJ/f/nZpeyUhQ8hcOPWsjd5p4Ig6TpJo8ltf3lj8VslnSU/ENtf3n71Fkk3JvO9LVnHp5N5fyHpWdNsb0DS4jLPjUr6s6QHk/tbJrfvSvqj/Ah2q7TfM27x7HvyHsBXJfPcIOmAEvMckZRjpKAcr0i2/WVJt8k7XOyY9nvGLb59sGBbj1RZjr3Sfn+4xbGPyQPstyTdK+8I/S8l5tldPorBTcnv6aumKzuXkgUAAEBUaEIAAACAqBBgAQAAEBUCLAAAAKJCgAUAAEBUCLAAAACICgEWAAAAUSHAAgAAICr/HyVMLj1aH3VFAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#查询股票最后100个交易日K线数据，后向复权\n",
    "k = s.get_kdata(Query(-100, recover_type=Query.BACKWARD))\n",
    "k.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
